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Training with this objective leads to imprved results on a variety of conditional and unconditional generation tasks, such as inferring single cell dynamics, unsupervised image translation, and Schrodinger bridge inference. PDF Cite Code Video.
Improving and generalizing flow-based generative models with minibatch optimal transport. A Tong, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, K Fatras, G Wolf, ... arXiv preprint...
Visiting Researcher. Harvard John A. Paulson School of Engineering and Applied Sciences. Feb 2024 - Present 5 months. Boston, Massachusetts, United States. predicting how badly humans drive while...
- Harvard John A. Paulson School of Engineering and Applied Sciences
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- The New York Times
Postdoctoral Fellow. My research interests include optimal transport, graph scattering, and normalizing flows. We present methods for learning simple flows over R^d with optimal transport conditional flow matching (OT-CFM).
· Experience: Stealth · Location: United States · 500+ connections on LinkedIn. View Alex Tong’s profile on LinkedIn, a professional community of 1 billion members.
- Stealth
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